Overview

Brought to you by YData

Dataset statistics

Number of variables17
Number of observations505354
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory65.5 MiB
Average record size in memory136.0 B

Variable types

Numeric16
Categorical1

Alerts

Aspect is highly overall correlated with Hillshade_3pmHigh correlation
Avg_Hillshade is highly overall correlated with Hillshade_3pm and 2 other fieldsHigh correlation
Distance_to_Water is highly overall correlated with Horizontal_Distance_To_Hydrology and 1 other fieldsHigh correlation
Elevation is highly overall correlated with Soil_Type and 1 other fieldsHigh correlation
Elevation_x_Slope is highly overall correlated with SlopeHigh correlation
Hillshade_3pm is highly overall correlated with Aspect and 3 other fieldsHigh correlation
Hillshade_9am is highly overall correlated with Hillshade_3pmHigh correlation
Hillshade_Noon is highly overall correlated with Avg_Hillshade and 1 other fieldsHigh correlation
Horizontal_Distance_To_Fire_Points is highly overall correlated with Hydro_Road_Fire_DistanceHigh correlation
Horizontal_Distance_To_Hydrology is highly overall correlated with Distance_to_Water and 1 other fieldsHigh correlation
Horizontal_Distance_To_Roadways is highly overall correlated with Hydro_Road_Fire_DistanceHigh correlation
Hydro_Road_Fire_Distance is highly overall correlated with Horizontal_Distance_To_Fire_Points and 1 other fieldsHigh correlation
Slope is highly overall correlated with Avg_Hillshade and 1 other fieldsHigh correlation
Soil_Type is highly overall correlated with ElevationHigh correlation
Vertical_Distance_To_Hydrology is highly overall correlated with Distance_to_Water and 1 other fieldsHigh correlation
Wilderness_Area is highly overall correlated with ElevationHigh correlation
Horizontal_Distance_To_Hydrology has 21630 (4.3%) zeros Zeros
Distance_to_Water has 21630 (4.3%) zeros Zeros

Reproduction

Analysis started2025-06-09 19:36:20.448599
Analysis finished2025-06-09 19:37:00.985956
Duration40.54 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Hillshade_Noon
Real number (ℝ)

High correlation 

Distinct185
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.87896182
Minimum0
Maximum1
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2025-06-09T22:37:01.062733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.73622047
Q10.83858268
median0.88976378
Q30.93307087
95-th percentile0.98425197
Maximum1
Range1
Interquartile range (IQR)0.094488189

Descriptive statistics

Standard deviation0.077089647
Coefficient of variation (CV)0.087705341
Kurtosis2.4443385
Mean0.87896182
Median Absolute Deviation (MAD)0.047244094
Skewness-1.1404263
Sum444186.87
Variance0.0059428137
MonotonicityNot monotonic
2025-06-09T22:37:01.148973image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9094488189 12314
 
2.4%
0.8976377953 12230
 
2.4%
0.9173228346 12063
 
2.4%
0.905511811 11975
 
2.4%
0.9015748031 11849
 
2.3%
0.9212598425 11805
 
2.3%
0.8937007874 11601
 
2.3%
0.8897637795 11594
 
2.3%
0.8779527559 11564
 
2.3%
0.8858267717 11495
 
2.3%
Other values (175) 386864
76.6%
ValueCountFrequency (%)
0 5
< 0.1%
0.1181102362 1
 
< 0.1%
0.157480315 1
 
< 0.1%
0.1653543307 1
 
< 0.1%
0.1771653543 1
 
< 0.1%
0.2086614173 2
 
< 0.1%
0.2480314961 1
 
< 0.1%
0.2519685039 1
 
< 0.1%
0.2677165354 1
 
< 0.1%
0.2795275591 1
 
< 0.1%
ValueCountFrequency (%)
1 3981
0.8%
0.9960629921 4664
0.9%
0.9921259843 5492
1.1%
0.9881889764 5864
1.2%
0.9842519685 6488
1.3%
0.9803149606 6356
1.3%
0.9763779528 6907
1.4%
0.9724409449 7617
1.5%
0.968503937 7453
1.5%
0.9645669291 7352
1.5%

Hydro_Road_Fire_Distance
Real number (ℝ)

High correlation 

Distinct12679
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.35297117
Minimum0
Maximum1
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2025-06-09T22:37:01.233485image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.10281593
Q10.2065526
median0.31934321
Q30.46919359
95-th percentile0.72792143
Maximum1
Range1
Interquartile range (IQR)0.26264099

Descriptive statistics

Standard deviation0.19013593
Coefficient of variation (CV)0.53867268
Kurtosis-0.029145393
Mean0.35297117
Median Absolute Deviation (MAD)0.12460677
Skewness0.7353494
Sum178375.39
Variance0.03615167
MonotonicityNot monotonic
2025-06-09T22:37:01.315804image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.218061843 134
 
< 0.1%
0.2219749866 125
 
< 0.1%
0.2185222128 123
 
< 0.1%
0.215299624 122
 
< 0.1%
0.4014424921 121
 
< 0.1%
0.2309521983 118
 
< 0.1%
0.2234328244 117
 
< 0.1%
0.2638686411 116
 
< 0.1%
0.2367835495 116
 
< 0.1%
0.1566024707 116
 
< 0.1%
Other values (12669) 504146
99.8%
ValueCountFrequency (%)
0 1
< 0.1%
0.0005370981355 1
< 0.1%
0.001304381186 1
< 0.1%
0.003222588813 2
< 0.1%
0.003376045423 1
< 0.1%
0.003759686949 1
< 0.1%
0.004143328474 1
< 0.1%
0.004296785084 1
< 0.1%
0.004450241694 2
< 0.1%
0.005524437965 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9994629019 1
< 0.1%
0.9989258037 1
< 0.1%
0.9986956188 1
< 0.1%
0.9984654339 1
< 0.1%
0.9979283358 1
< 0.1%
0.9978516075 1
< 0.1%
0.9976981508 1
< 0.1%
0.9976214225 2
< 0.1%
0.9975446942 2
< 0.1%

Horizontal_Distance_To_Roadways
Real number (ℝ)

High correlation 

Distinct5785
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.34171421
Minimum0
Maximum1
Zeros96
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2025-06-09T22:37:01.399807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.054938879
Q10.16017985
median0.29197696
Q30.48826753
95-th percentile0.78277364
Maximum1
Range1
Interquartile range (IQR)0.32808768

Descriptive statistics

Standard deviation0.22487219
Coefficient of variation (CV)0.65807093
Kurtosis-0.53780115
Mean0.34171421
Median Absolute Deviation (MAD)0.15245188
Skewness0.65607631
Sum172686.64
Variance0.050567502
MonotonicityNot monotonic
2025-06-09T22:37:01.482085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02107629619 1078
 
0.2%
0.08683434031 882
 
0.2%
0.1264577772 821
 
0.2%
0.1433188141 805
 
0.2%
0.1391035549 777
 
0.2%
0.1348882956 764
 
0.2%
0.0547983701 763
 
0.2%
0.1601798511 736
 
0.1%
0.1475340733 726
 
0.1%
0.105381481 725
 
0.1%
Other values (5775) 497277
98.4%
ValueCountFrequency (%)
0 96
 
< 0.1%
0.004215259238 267
0.1%
0.005901362934 153
 
< 0.1%
0.008430518477 280
0.1%
0.009414078966 249
< 0.1%
0.01194323451 293
0.1%
0.01264577772 331
0.1%
0.01334832092 317
0.1%
0.01517493326 537
0.1%
0.01686103695 559
0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9998594914 1
< 0.1%
0.9992974568 1
< 0.1%
0.9971898272 1
< 0.1%
0.996487284 1
< 0.1%
0.9957847408 2
< 0.1%
0.9950821976 1
< 0.1%
0.9946606716 1
< 0.1%
0.994520163 2
< 0.1%
0.9932555852 1
< 0.1%

Vertical_Distance_To_Hydrology
Real number (ℝ)

High correlation 

Distinct692
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.26974003
Minimum0
Maximum1
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2025-06-09T22:37:01.563398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.21842105
median0.24736842
Q30.29736842
95-th percentile0.425
Maximum1
Range1
Interquartile range (IQR)0.078947368

Descriptive statistics

Standard deviation0.076185672
Coefficient of variation (CV)0.2824411
Kurtosis5.8017203
Mean0.26974003
Median Absolute Deviation (MAD)0.034210526
Skewness1.8979445
Sum136314.2
Variance0.0058042566
MonotonicityNot monotonic
2025-06-09T22:37:01.644909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2092105263 34287
 
6.8%
0.2131578947 8388
 
1.7%
0.2223684211 8084
 
1.6%
0.2184210526 7807
 
1.5%
0.2263157895 7707
 
1.5%
0.2171052632 7694
 
1.5%
0.2144736842 7529
 
1.5%
0.2157894737 6717
 
1.3%
0.2302631579 6715
 
1.3%
0.2394736842 6539
 
1.3%
Other values (682) 403887
79.9%
ValueCountFrequency (%)
0 2
< 0.1%
0.001315789474 1
< 0.1%
0.003947368421 1
< 0.1%
0.006578947368 1
< 0.1%
0.007894736842 2
< 0.1%
0.009210526316 2
< 0.1%
0.01052631579 1
< 0.1%
0.01184210526 1
< 0.1%
0.01315789474 1
< 0.1%
0.01578947368 1
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9973684211 1
 
< 0.1%
0.9960526316 2
< 0.1%
0.9947368421 3
< 0.1%
0.9921052632 2
< 0.1%
0.9881578947 1
 
< 0.1%
0.9868421053 1
 
< 0.1%
0.9855263158 2
< 0.1%
0.9842105263 3
< 0.1%
0.9828947368 3
< 0.1%

Hillshade_9am
Real number (ℝ)

High correlation 

Distinct207
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.83575869
Minimum0
Maximum1
Zeros13
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2025-06-09T22:37:01.724421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.62992126
Q10.78346457
median0.85826772
Q30.90944882
95-th percentile0.96456693
Maximum1
Range1
Interquartile range (IQR)0.12598425

Descriptive statistics

Standard deviation0.10484011
Coefficient of variation (CV)0.12544303
Kurtosis2.1182007
Mean0.83575869
Median Absolute Deviation (MAD)0.059055118
Skewness-1.2439666
Sum422354
Variance0.010991448
MonotonicityNot monotonic
2025-06-09T22:37:01.804422image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8897637795 10413
 
2.1%
0.8976377953 10242
 
2.0%
0.8818897638 10051
 
2.0%
0.905511811 10049
 
2.0%
0.8779527559 9782
 
1.9%
0.874015748 9720
 
1.9%
0.9173228346 9416
 
1.9%
0.8937007874 9382
 
1.9%
0.8858267717 9243
 
1.8%
0.8700787402 9239
 
1.8%
Other values (197) 407817
80.7%
ValueCountFrequency (%)
0 13
< 0.1%
0.1417322835 1
 
< 0.1%
0.1811023622 2
 
< 0.1%
0.1968503937 1
 
< 0.1%
0.2047244094 1
 
< 0.1%
0.2086614173 1
 
< 0.1%
0.2125984252 3
 
< 0.1%
0.2165354331 1
 
< 0.1%
0.2204724409 5
 
< 0.1%
0.2244094488 2
 
< 0.1%
ValueCountFrequency (%)
1 1641
 
0.3%
0.9960629921 1822
 
0.4%
0.9921259843 2123
0.4%
0.9881889764 2409
0.5%
0.9842519685 2766
0.5%
0.9803149606 3116
0.6%
0.9763779528 3249
0.6%
0.9724409449 3691
0.7%
0.968503937 4069
0.8%
0.9645669291 4560
0.9%

Aspect
Real number (ℝ)

High correlation 

Distinct361
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.42996532
Minimum0
Maximum1
Zeros4536
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2025-06-09T22:37:01.884652image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.030555556
Q10.15833333
median0.34444444
Q30.73055556
95-th percentile0.95555556
Maximum1
Range1
Interquartile range (IQR)0.57222222

Descriptive statistics

Standard deviation0.3129525
Coefficient of variation (CV)0.72785521
Kurtosis-1.2289254
Mean0.42996532
Median Absolute Deviation (MAD)0.23333333
Skewness0.41649173
Sum217284.69
Variance0.097939265
MonotonicityNot monotonic
2025-06-09T22:37:01.968161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.125 5854
 
1.2%
0 4536
 
0.9%
0.25 4111
 
0.8%
0.375 3443
 
0.7%
0.175 3320
 
0.7%
0.875 3236
 
0.6%
0.05 3077
 
0.6%
0.2 3071
 
0.6%
0.075 3071
 
0.6%
0.09444444444 2521
 
0.5%
Other values (351) 469114
92.8%
ValueCountFrequency (%)
0 4536
0.9%
0.002777777778 1506
 
0.3%
0.005555555556 1709
 
0.3%
0.008333333333 1718
 
0.3%
0.01111111111 2023
0.4%
0.01388888889 1844
0.4%
0.01666666667 1981
0.4%
0.01944444444 1951
0.4%
0.02222222222 1983
0.4%
0.025 2229
0.4%
ValueCountFrequency (%)
1 49
 
< 0.1%
0.9972222222 1220
0.2%
0.9944444444 1566
0.3%
0.9916666667 1643
0.3%
0.9888888889 1801
0.4%
0.9861111111 1725
0.3%
0.9833333333 1784
0.4%
0.9805555556 1732
0.3%
0.9777777778 1782
0.4%
0.975 1938
0.4%

Elevation
Real number (ℝ)

High correlation 

Distinct1978
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.54656732
Minimum0
Maximum1
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2025-06-09T22:37:02.074486image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.26113057
Q10.47773887
median0.56428214
Q30.64182091
95-th percentile0.73186593
Maximum1
Range1
Interquartile range (IQR)0.16408204

Descriptive statistics

Standard deviation0.13781103
Coefficient of variation (CV)0.25213916
Kurtosis1.0931128
Mean0.54656732
Median Absolute Deviation (MAD)0.08154077
Skewness-0.89179409
Sum276209.98
Variance0.018991879
MonotonicityNot monotonic
2025-06-09T22:37:02.164761image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5547773887 1625
 
0.3%
0.5517758879 1613
 
0.3%
0.5662831416 1613
 
0.3%
0.5567783892 1609
 
0.3%
0.5597798899 1603
 
0.3%
0.5582791396 1599
 
0.3%
0.5647823912 1554
 
0.3%
0.5482741371 1524
 
0.3%
0.5532766383 1519
 
0.3%
0.5467733867 1514
 
0.3%
Other values (1968) 489581
96.9%
ValueCountFrequency (%)
0 1
 
< 0.1%
0.0005002501251 1
 
< 0.1%
0.00100050025 1
 
< 0.1%
0.0020010005 1
 
< 0.1%
0.003501750875 1
 
< 0.1%
0.004002001001 1
 
< 0.1%
0.004502251126 1
 
< 0.1%
0.006003001501 3
< 0.1%
0.006503251626 4
< 0.1%
0.007003501751 1
 
< 0.1%
ValueCountFrequency (%)
1 2
 
< 0.1%
0.9994997499 1
 
< 0.1%
0.9989994997 1
 
< 0.1%
0.9974987494 1
 
< 0.1%
0.9969984992 1
 
< 0.1%
0.9964982491 2
 
< 0.1%
0.995997999 1
 
< 0.1%
0.9954977489 4
< 0.1%
0.9949974987 1
 
< 0.1%
0.9939969985 6
< 0.1%

Avg_Hillshade
Real number (ℝ)

High correlation 

Distinct384
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.88483176
Minimum0
Maximum1
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2025-06-09T22:37:02.252025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.73443223
Q10.84615385
median0.8992674
Q30.93956044
95-th percentile0.98534799
Maximum1
Range1
Interquartile range (IQR)0.093406593

Descriptive statistics

Standard deviation0.07908722
Coefficient of variation (CV)0.089381081
Kurtosis3.0701699
Mean0.88483176
Median Absolute Deviation (MAD)0.045787546
Skewness-1.3616708
Sum447153.27
Variance0.0062547883
MonotonicityNot monotonic
2025-06-09T22:37:02.342886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9212454212 6583
 
1.3%
0.9139194139 6186
 
1.2%
0.9175824176 6168
 
1.2%
0.9322344322 5970
 
1.2%
0.9047619048 5963
 
1.2%
0.9249084249 5952
 
1.2%
0.9010989011 5878
 
1.2%
0.8992673993 5798
 
1.1%
0.9065934066 5781
 
1.1%
0.9285714286 5696
 
1.1%
Other values (374) 445379
88.1%
ValueCountFrequency (%)
0 1
< 0.1%
0.01465201465 1
< 0.1%
0.13003663 1
< 0.1%
0.1538461538 1
< 0.1%
0.1648351648 2
< 0.1%
0.1758241758 1
< 0.1%
0.1794871795 1
< 0.1%
0.2106227106 1
< 0.1%
0.2289377289 1
< 0.1%
0.2435897436 1
< 0.1%
ValueCountFrequency (%)
1 247
 
< 0.1%
0.9981684982 1927
0.4%
0.9963369963 2939
0.6%
0.9945054945 3181
0.6%
0.9926739927 3415
0.7%
0.9908424908 3115
0.6%
0.989010989 3447
0.7%
0.9871794872 3739
0.7%
0.9853479853 3372
0.7%
0.9835164835 4121
0.8%

Horizontal_Distance_To_Hydrology
Real number (ℝ)

High correlation  Zeros 

Distinct551
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.19052047
Minimum0
Maximum1
Zeros21630
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2025-06-09T22:37:02.428403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.021474588
Q10.077308518
median0.15461704
Q30.27129563
95-th percentile0.48246242
Maximum1
Range1
Interquartile range (IQR)0.19398712

Descriptive statistics

Standard deviation0.15110145
Coefficient of variation (CV)0.79309826
Kurtosis1.6070835
Mean0.19052047
Median Absolute Deviation (MAD)0.093772369
Skewness1.188776
Sum96280.281
Variance0.022831649
MonotonicityNot monotonic
2025-06-09T22:37:02.512408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0214745884 29993
 
5.9%
0 21630
 
4.3%
0.107372942 18274
 
3.6%
0.04294917681 16778
 
3.3%
0.0479599141 13454
 
2.7%
0.03006442377 12960
 
2.6%
0.07730851825 12702
 
2.5%
0.06084466714 12156
 
2.4%
0.06442376521 9757
 
1.9%
0.08589835361 9343
 
1.8%
Other values (541) 348307
68.9%
ValueCountFrequency (%)
0 21630
4.3%
0.0214745884 29993
5.9%
0.03006442377 12960
2.6%
0.04294917681 16778
3.3%
0.0479599141 13454
2.7%
0.06084466714 12156
2.4%
0.06442376521 9757
 
1.9%
0.06800286328 8120
 
1.6%
0.07730851825 12702
2.5%
0.08589835361 9343
 
1.8%
ValueCountFrequency (%)
1 1
< 0.1%
0.9949892627 2
< 0.1%
0.9899785254 2
< 0.1%
0.9892627058 1
< 0.1%
0.9849677881 1
< 0.1%
0.9813886901 1
< 0.1%
0.9806728704 1
< 0.1%
0.9799570508 1
< 0.1%
0.9792412312 2
< 0.1%
0.9742304939 2
< 0.1%

Horizontal_Distance_To_Fire_Points
Real number (ℝ)

High correlation 

Distinct5827
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.28023646
Minimum0
Maximum1
Zeros45
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2025-06-09T22:37:02.595287image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.056879967
Q10.14275756
median0.24048515
Q30.36135508
95-th percentile0.70946605
Maximum1
Range1
Interquartile range (IQR)0.21859752

Descriptive statistics

Standard deviation0.18929568
Coefficient of variation (CV)0.67548557
Kurtosis1.5080032
Mean0.28023646
Median Absolute Deviation (MAD)0.10748641
Skewness1.266097
Sum141618.62
Variance0.035832855
MonotonicityNot monotonic
2025-06-09T22:37:02.678807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08615641991 1244
 
0.2%
0.07542172034 981
 
0.2%
0.0846228914 930
 
0.2%
0.1313258051 856
 
0.2%
0.1389934477 844
 
0.2%
0.09758817789 833
 
0.2%
0.1012128816 798
 
0.2%
0.1048375854 782
 
0.2%
0.1254705144 774
 
0.2%
0.1338352154 768
 
0.2%
Other values (5817) 496544
98.3%
ValueCountFrequency (%)
0 45
 
< 0.1%
0.004182350481 184
< 0.1%
0.005855290673 183
< 0.1%
0.008364700962 182
< 0.1%
0.009340582741 370
0.1%
0.01184999303 183
< 0.1%
0.01254705144 182
< 0.1%
0.01324410986 366
0.1%
0.01505646173 369
0.1%
0.01672940192 180
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9998605883 1
< 0.1%
0.9993029416 1
< 0.1%
0.9967935313 1
< 0.1%
0.9960964729 1
< 0.1%
0.9956782378 1
< 0.1%
0.9955388262 2
< 0.1%
0.9953994145 1
< 0.1%
0.9941447093 1
< 0.1%
0.9934476509 1
< 0.1%

Slope
Real number (ℝ)

High correlation 

Distinct67
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.20859689
Minimum0
Maximum1
Zeros621
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2025-06-09T22:37:02.760323image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.060606061
Q10.12121212
median0.1969697
Q30.27272727
95-th percentile0.42424242
Maximum1
Range1
Interquartile range (IQR)0.15151515

Descriptive statistics

Standard deviation0.11323937
Coefficient of variation (CV)0.5428622
Kurtosis0.75038989
Mean0.20859689
Median Absolute Deviation (MAD)0.075757576
Skewness0.85685891
Sum105415.27
Variance0.012823154
MonotonicityNot monotonic
2025-06-09T22:37:02.845576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1515151515 30511
 
6.0%
0.1666666667 30123
 
6.0%
0.1818181818 29324
 
5.8%
0.1363636364 29017
 
5.7%
0.196969697 28187
 
5.6%
0.1212121212 27610
 
5.5%
0.2121212121 25932
 
5.1%
0.2272727273 24691
 
4.9%
0.1060606061 24304
 
4.8%
0.09090909091 22768
 
4.5%
Other values (57) 232887
46.1%
ValueCountFrequency (%)
0 621
 
0.1%
0.01515151515 3485
 
0.7%
0.0303030303 7301
 
1.4%
0.04545454545 10951
 
2.2%
0.06060606061 15310
3.0%
0.07575757576 19417
3.8%
0.09090909091 22768
4.5%
0.1060606061 24304
4.8%
0.1212121212 27610
5.5%
0.1363636364 29017
5.7%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9848484848 2
 
< 0.1%
0.9696969697 1
 
< 0.1%
0.9545454545 1
 
< 0.1%
0.9393939394 2
 
< 0.1%
0.9242424242 4
< 0.1%
0.9090909091 2
 
< 0.1%
0.8939393939 3
< 0.1%
0.8787878788 1
 
< 0.1%
0.8636363636 7
< 0.1%

Elevation_x_Slope
Real number (ℝ)

High correlation 

Distinct37825
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.19572668
Minimum0
Maximum1
Zeros621
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2025-06-09T22:37:02.928090image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.054874073
Q10.12053885
median0.18209684
Q30.25631101
95-th percentile0.3833073
Maximum1
Range1
Interquartile range (IQR)0.13577216

Descriptive statistics

Standard deviation0.10242268
Coefficient of variation (CV)0.52329443
Kurtosis0.91042054
Mean0.19572668
Median Absolute Deviation (MAD)0.066663413
Skewness0.80115176
Sum98911.263
Variance0.010490406
MonotonicityNot monotonic
2025-06-09T22:37:03.018607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 621
 
0.1%
0.1873096447 163
 
< 0.1%
0.1733112066 159
 
< 0.1%
0.1918781726 157
 
< 0.1%
0.1440843421 154
 
< 0.1%
0.1453533776 146
 
< 0.1%
0.1895939086 146
 
< 0.1%
0.1305544709 143
 
< 0.1%
0.1444260055 143
 
< 0.1%
0.2389691527 142
 
< 0.1%
Other values (37815) 503380
99.6%
ValueCountFrequency (%)
0 621
0.1%
0.009415267474 1
 
< 0.1%
0.009468957439 1
 
< 0.1%
0.009820382663 1
 
< 0.1%
0.01019133151 2
 
< 0.1%
0.01024990238 1
 
< 0.1%
0.0102645451 1
 
< 0.1%
0.01035240141 1
 
< 0.1%
0.01035728231 1
 
< 0.1%
0.01039144865 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9947676689 1
< 0.1%
0.9815989848 1
< 0.1%
0.9556618508 1
< 0.1%
0.9448408825 1
< 0.1%
0.9239408434 1
< 0.1%
0.9062524405 1
< 0.1%
0.9025380711 1
< 0.1%
0.875204998 1
< 0.1%
0.8654822335 1
< 0.1%

Hillshade_3pm
Real number (ℝ)

High correlation 

Distinct255
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.56133517
Minimum0
Maximum1
Zeros1266
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2025-06-09T22:37:03.104397image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.31102362
Q10.47244094
median0.56299213
Q30.66141732
95-th percentile0.7992126
Maximum1
Range1
Interquartile range (IQR)0.18897638

Descriptive statistics

Standard deviation0.14874626
Coefficient of variation (CV)0.26498653
Kurtosis0.54411121
Mean0.56133517
Median Absolute Deviation (MAD)0.094488189
Skewness-0.29140078
Sum283672.97
Variance0.02212545
MonotonicityNot monotonic
2025-06-09T22:37:03.189565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.562992126 6582
 
1.3%
0.5708661417 6474
 
1.3%
0.5433070866 6384
 
1.3%
0.5748031496 6243
 
1.2%
0.5590551181 6189
 
1.2%
0.5354330709 6166
 
1.2%
0.5472440945 6153
 
1.2%
0.5866141732 6078
 
1.2%
0.531496063 6035
 
1.2%
0.5905511811 6026
 
1.2%
Other values (245) 443024
87.7%
ValueCountFrequency (%)
0 1266
0.3%
0.003937007874 14
 
< 0.1%
0.007874015748 15
 
< 0.1%
0.01181102362 15
 
< 0.1%
0.0157480315 18
 
< 0.1%
0.01968503937 18
 
< 0.1%
0.02362204724 24
 
< 0.1%
0.02755905512 28
 
< 0.1%
0.03149606299 20
 
< 0.1%
0.03543307087 31
 
< 0.1%
ValueCountFrequency (%)
1 4
 
< 0.1%
0.9960629921 8
 
< 0.1%
0.9921259843 16
 
< 0.1%
0.9881889764 10
 
< 0.1%
0.9842519685 15
 
< 0.1%
0.9803149606 35
< 0.1%
0.9763779528 41
< 0.1%
0.9724409449 54
< 0.1%
0.968503937 68
< 0.1%
0.9645669291 78
< 0.1%

Distance_to_Water
Real number (ℝ)

High correlation  Zeros 

Distinct48761
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.19219802
Minimum0
Maximum1
Zeros21630
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2025-06-09T22:37:03.273877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.021142888
Q10.076231767
median0.1591766
Q30.27493072
95-th percentile0.48581219
Maximum1
Range1
Interquartile range (IQR)0.19869896

Descriptive statistics

Standard deviation0.15196498
Coefficient of variation (CV)0.7906688
Kurtosis1.604842
Mean0.19219802
Median Absolute Deviation (MAD)0.095556376
Skewness1.1832935
Sum97128.036
Variance0.023093354
MonotonicityNot monotonic
2025-06-09T22:37:03.354128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21630
 
4.3%
0.02114288811 4151
 
0.8%
0.02124833958 3374
 
0.7%
0.0211546309 3338
 
0.7%
0.02118982022 3333
 
0.7%
0.02132999697 2748
 
0.5%
0.02143452793 2308
 
0.5%
0.02156159981 2177
 
0.4%
0.02171081682 1810
 
0.4%
0.02188172591 1299
 
0.3%
Other values (48751) 459186
90.9%
ValueCountFrequency (%)
0 21630
4.3%
0.02114288811 4151
 
0.8%
0.0211546309 3338
 
0.7%
0.02118982022 3333
 
0.7%
0.02124833958 3374
 
0.7%
0.02132999697 2748
 
0.5%
0.02143452793 2308
 
0.5%
0.02156159981 2177
 
0.4%
0.02171081682 1810
 
0.4%
0.02188172591 1299
 
0.3%
ValueCountFrequency (%)
1 1
< 0.1%
0.9960384945 1
< 0.1%
0.9944624595 1
< 0.1%
0.9919249796 1
< 0.1%
0.9851045647 1
< 0.1%
0.9831829448 1
< 0.1%
0.982764056 1
< 0.1%
0.9802502571 1
< 0.1%
0.979413088 1
< 0.1%
0.9755568789 1
< 0.1%

Wilderness_Area
Real number (ℝ)

High correlation 

Distinct40
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.67163
Minimum0
Maximum39
Zeros3031
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2025-06-09T22:37:03.429639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q120
median28
Q330
95-th percentile37
Maximum39
Range39
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.1508803
Coefficient of variation (CV)0.38657584
Kurtosis-0.28933434
Mean23.67163
Median Absolute Deviation (MAD)4
Skewness-0.76966211
Sum11962553
Variance83.738611
MonotonicityNot monotonic
2025-06-09T22:37:03.505642image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
28 115174
22.8%
22 48686
9.6%
31 46440
9.2%
32 33897
 
6.7%
29 30170
 
6.0%
11 29971
 
5.9%
9 26929
 
5.3%
21 25682
 
5.1%
30 24253
 
4.8%
23 16959
 
3.4%
Other values (30) 107193
21.2%
ValueCountFrequency (%)
0 3031
 
0.6%
1 4918
 
1.0%
2 2531
 
0.5%
3 7619
 
1.5%
4 1597
 
0.3%
5 6575
 
1.3%
6 105
 
< 0.1%
7 179
 
< 0.1%
8 1147
 
0.2%
9 26929
5.3%
ValueCountFrequency (%)
39 6834
 
1.4%
38 10406
 
2.1%
37 13519
 
2.7%
36 298
 
0.1%
35 119
 
< 0.1%
34 1391
 
0.3%
33 706
 
0.1%
32 33897
6.7%
31 46440
9.2%
30 24253
4.8%

Soil_Type
Categorical

High correlation 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.9 MiB
0.0
260796 
2.0
199161 
3.0
36968 
1.0
 
8429

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1516062
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 260796
51.6%
2.0 199161
39.4%
3.0 36968
 
7.3%
1.0 8429
 
1.7%

Length

2025-06-09T22:37:03.580763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-06-09T22:37:03.657068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 260796
51.6%
2.0 199161
39.4%
3.0 36968
 
7.3%
1.0 8429
 
1.7%

Most occurring characters

ValueCountFrequency (%)
0 766150
50.5%
. 505354
33.3%
2 199161
 
13.1%
3 36968
 
2.4%
1 8429
 
0.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1516062
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 766150
50.5%
. 505354
33.3%
2 199161
 
13.1%
3 36968
 
2.4%
1 8429
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1516062
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 766150
50.5%
. 505354
33.3%
2 199161
 
13.1%
3 36968
 
2.4%
1 8429
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1516062
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 766150
50.5%
. 505354
33.3%
2 199161
 
13.1%
3 36968
 
2.4%
1 8429
 
0.6%

Cover_Type
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0589349
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2025-06-09T22:37:03.701111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3893957
Coefficient of variation (CV)0.67481283
Kurtosis4.9724135
Mean2.0589349
Median Absolute Deviation (MAD)0
Skewness2.2809236
Sum1040491
Variance1.9304204
MonotonicityNot monotonic
2025-06-09T22:37:03.748618image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 254165
50.3%
1 178709
35.4%
3 28058
 
5.6%
7 17532
 
3.5%
6 14851
 
2.9%
5 9292
 
1.8%
4 2747
 
0.5%
ValueCountFrequency (%)
1 178709
35.4%
2 254165
50.3%
3 28058
 
5.6%
4 2747
 
0.5%
5 9292
 
1.8%
6 14851
 
2.9%
7 17532
 
3.5%
ValueCountFrequency (%)
7 17532
 
3.5%
6 14851
 
2.9%
5 9292
 
1.8%
4 2747
 
0.5%
3 28058
 
5.6%
2 254165
50.3%
1 178709
35.4%

Interactions

2025-06-09T22:36:57.868425image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:30.735465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:32.413692image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:34.098340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:35.614943image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:37.159862image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:38.694212image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:40.216035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:41.718435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:43.240886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:44.985679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:46.887601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:48.646244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:50.415977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:52.160281image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:56.020976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:57.977942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:30.870365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:32.504200image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:34.190348image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:35.709427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:37.253860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:38.785725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:40.307906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:41.811663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:43.337794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:45.129483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:46.994843image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:48.754757image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:50.517492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:52.268800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:56.132177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:58.102972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:30.970873image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:32.597050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:34.283322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:35.803941image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:37.349384image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:38.880801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:40.401417image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:41.910921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:43.439311image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:45.266572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:47.105206image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:48.865988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:50.621005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:52.379314image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:56.247044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:58.215991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:31.074197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:32.692058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:34.376850image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:35.911945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:37.443223image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:38.976896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:40.494198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:42.005944image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:43.539631image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:45.424322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:47.213718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:48.980237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:50.730263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:52.493620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:56.362562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:58.326924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:31.174707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:32.786568image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:34.474090image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:36.008450image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:37.536571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:39.072400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:40.588236image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:42.100790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:43.644146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:45.566145image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:47.324240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:49.093992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:50.838778image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:52.604136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:56.482046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:58.437971image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:31.274348image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:32.897366image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:34.567105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:36.102963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:37.629079image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:39.169912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:40.679743image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:42.192792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:43.747659image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:45.682270image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:47.432099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:49.201256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:50.954661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:52.713977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:56.599567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:58.546860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:31.370576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:33.020884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:34.660330image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:36.200301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:37.722363image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:39.263454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:40.769988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:42.288660image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:43.849939image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:45.788790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:47.543418image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:49.311916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:51.061478image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:52.820492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:56.712591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:58.656373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:31.476689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:33.152709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:34.751846image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:36.294378image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:37.814879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:39.356969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:40.859504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:42.378788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:43.961218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:45.901565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:47.649633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:49.423275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:51.163770image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:52.930262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:56.829868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:58.766692image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:31.583030image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:33.269839image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:34.854124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:36.389390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:37.917020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:39.449480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:40.951710image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:42.472304image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:44.064525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:46.009810image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:47.755151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:49.549792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:51.271283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:53.041482image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:56.949380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:58.880972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:31.689540image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:33.424616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:34.950411image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:36.486638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:38.027007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:39.544735image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:41.045977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:42.566560image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:44.174035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:46.117028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:47.864473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:49.675147image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:51.384796image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:53.149995image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:57.068620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:58.993485image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:31.801558image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:33.519129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:35.046765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:36.582740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:38.125073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:39.639245image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:41.140489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:42.661403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:44.279545image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:46.224542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:47.976724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:49.784662image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:51.495085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:53.260270image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:57.179720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:59.108444image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:31.912847image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:33.612062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:35.139100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:36.676053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:38.216077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:39.731717image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:41.233005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:42.752912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:44.388175image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:46.334885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:48.099012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:49.885063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:51.603594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:53.368781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:57.294070image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:59.225000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:32.022360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:33.704585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:35.232255image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:36.770567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:38.311189image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:39.825228image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:41.329855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:42.849154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:44.500192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:46.444016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:48.205836image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:49.988580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:51.711318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:55.579704image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:57.409584image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:59.338248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:32.123669image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:33.796911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:35.327771image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:36.864870image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:38.404709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:39.923506image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:41.430279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:42.942454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:44.601479image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:46.552530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:48.312350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:50.089786image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:51.819830image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:55.686221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:57.526071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:59.452763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:32.219816image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:33.900982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:35.419922image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:36.961841image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:38.499859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:40.019773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:41.527407image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:43.037848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:44.731002image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:46.659757image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:48.422457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:50.202093image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:51.937183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:55.792670image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:57.635581image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:59.573699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:32.319120image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:34.000489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:35.519431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:37.064354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:38.598384image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:40.121282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:41.624923image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:43.143365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:44.872348image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:46.774267image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:48.537969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:50.312118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:52.053254image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:55.910700image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T22:36:57.753098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-06-09T22:37:03.807628image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
AspectAvg_HillshadeCover_TypeDistance_to_WaterElevationElevation_x_SlopeHillshade_3pmHillshade_9amHillshade_NoonHorizontal_Distance_To_Fire_PointsHorizontal_Distance_To_HydrologyHorizontal_Distance_To_RoadwaysHydro_Road_Fire_DistanceSlopeSoil_TypeVertical_Distance_To_HydrologyWilderness_Area
Aspect1.0000.4360.0400.0030.0320.0700.632-0.4150.414-0.110-0.0030.019-0.0470.0680.1620.0720.014
Avg_Hillshade0.4361.000-0.0780.0250.193-0.4990.655-0.1940.9860.0180.0360.2190.158-0.5230.138-0.1090.022
Cover_Type0.040-0.0781.0000.002-0.4930.084-0.028-0.009-0.063-0.121-0.007-0.226-0.2230.1670.4820.121-0.224
Distance_to_Water0.0030.0250.0021.0000.2510.0790.036-0.0470.0220.0650.9990.0620.1430.0350.1060.6470.192
Elevation0.0320.193-0.4930.2511.000-0.0230.0730.0260.1860.1290.2610.4170.368-0.1750.5430.0600.536
Elevation_x_Slope0.070-0.4990.0840.079-0.0231.000-0.181-0.119-0.443-0.1320.057-0.155-0.1780.9840.1320.3310.128
Hillshade_3pm0.6320.655-0.0280.0360.073-0.1811.000-0.8190.566-0.0830.0350.1050.030-0.1870.1620.036-0.003
Hillshade_9am-0.415-0.194-0.009-0.0470.026-0.119-0.8191.000-0.0860.126-0.0390.0070.067-0.1250.196-0.1320.009
Hillshade_Noon0.4140.986-0.0630.0220.186-0.4430.566-0.0861.0000.0200.0320.2090.152-0.4680.143-0.0990.020
Horizontal_Distance_To_Fire_Points-0.1100.018-0.1210.0650.129-0.132-0.0830.1260.0201.0000.0740.3710.735-0.1690.290-0.0390.072
Horizontal_Distance_To_Hydrology-0.0030.036-0.0070.9990.2610.0570.035-0.0390.0320.0741.0000.0720.1540.0130.1060.6240.196
Horizontal_Distance_To_Roadways0.0190.219-0.2260.0620.417-0.1550.1050.0070.2090.3710.0721.0000.880-0.2280.363-0.0320.191
Hydro_Road_Fire_Distance-0.0470.158-0.2230.1430.368-0.1780.0300.0670.1520.7350.1540.8801.000-0.2470.4240.0020.175
Slope0.068-0.5230.1670.035-0.1750.984-0.187-0.125-0.468-0.1690.013-0.228-0.2471.0000.2060.3160.030
Soil_Type0.1620.1380.4820.1060.5430.1320.1620.1960.1430.2900.1060.3630.4240.2061.0000.1290.459
Vertical_Distance_To_Hydrology0.072-0.1090.1210.6470.0600.3310.036-0.132-0.099-0.0390.624-0.0320.0020.3160.1291.0000.118
Wilderness_Area0.0140.022-0.2240.1920.5360.128-0.0030.0090.0200.0720.1960.1910.1750.0300.4590.1181.000

Missing values

2025-06-09T22:36:59.682828image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-06-09T22:37:00.082048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Hillshade_NoonHydro_Road_Fire_DistanceHorizontal_Distance_To_RoadwaysVertical_Distance_To_HydrologyHillshade_9amAspectElevationAvg_HillshadeHorizontal_Distance_To_HydrologyHorizontal_Distance_To_Fire_PointsSlopeElevation_x_SlopeHillshade_3pmDistance_to_WaterWilderness_AreaSoil_TypeCover_Type
00.9130.5320.0720.2090.8700.1420.3690.9270.1850.8750.0450.0380.5830.18228.00.05
10.9250.5160.0550.2010.8660.1560.3660.9360.1520.8680.0300.0250.5940.14928.00.05
20.9370.7260.4470.2950.9210.3860.4730.9380.1920.8530.1360.1230.5310.19411.00.02
30.9370.7240.4340.3640.9370.4310.4630.9210.1730.8660.2730.2450.4800.19029.00.02
40.9210.5070.0550.2080.8660.1250.3680.9320.1100.8600.0300.0250.5910.10828.00.05
50.9330.4830.0090.1890.9060.3670.3600.9380.2150.8410.0910.0760.5510.21228.00.02
60.8860.5410.0890.2160.8740.1250.3740.8970.1930.8720.1060.0890.5430.19028.00.05
70.9060.5310.0810.2180.8740.1360.3730.9180.1680.8680.0610.0510.5670.16528.00.05
80.8700.5400.0940.2830.8780.1250.3790.8830.1720.8700.1360.1150.5240.17428.00.05
90.8620.5370.0890.2240.8980.1640.3770.8720.1770.8690.1520.1270.4880.17428.00.05
Hillshade_NoonHydro_Road_Fire_DistanceHorizontal_Distance_To_RoadwaysVertical_Distance_To_HydrologyHillshade_9amAspectElevationAvg_HillshadeHorizontal_Distance_To_HydrologyHorizontal_Distance_To_Fire_PointsSlopeElevation_x_SlopeHillshade_3pmDistance_to_WaterWilderness_AreaSoil_TypeCover_Type
5053440.8430.2500.2240.2280.8980.1560.6660.8500.1360.2210.1820.1870.4610.13430.02.01
5053450.8070.2500.2240.2180.9090.1670.6620.8110.1160.2240.2420.2490.4020.11430.02.01
5053460.7990.2490.2240.2360.8940.1470.6580.8040.0960.2280.2580.2630.4090.09530.02.01
5053470.8070.2490.2240.2280.8740.1220.6550.8170.0770.2310.2270.2320.4490.07730.02.01
5053480.8230.2490.2230.2210.8820.1330.6530.8320.0610.2340.2120.2160.4570.06030.02.01
5053490.8310.2490.2230.2260.9060.1690.6500.8370.0430.2380.1970.2000.4370.04330.02.01
5053500.8430.2490.2230.2170.9170.1890.6460.8480.0210.2410.1970.2000.4370.02230.02.01
5053510.8390.2490.2240.2090.8980.1560.6430.8460.0000.2450.1970.2000.4570.00023.02.01
5053520.8030.2510.2240.2090.8700.1140.6410.8130.0000.2480.2420.2450.4490.00023.02.01
5053530.7870.2550.2240.2110.8310.0810.6380.7990.0210.2520.2580.2600.4720.02123.02.01